Literature DB >> 32629180

Identification and visualisation of microplastics/ nanoplastics by Raman imaging (ii): Smaller than the diffraction limit of laser?

Cheng Fang1, Zahra Sobhani2, Xian Zhang3, Christopher T Gibson4, Youhong Tang5, Ravi Naidu6.   

Abstract

We recently reported (Sobhani et al., 2020) that when a confocal Raman microscope imaged a nanoplastic with the diameter of 100 nm, the imaging lateral size was 300-400 nm, due to the diffraction limit of the laser spot. In this study, we examine the lateral intensity distribution of the Raman signal emitted by nanoplastics (diameters ranging ∼30-600 nm) within the excitation laser spot. We find that the Raman emission intensity, similar to the excitation power density distributed within a laser spot, also follows a lateral Gaussian distribution. To image and visualise individual nanoplastics, we (i) decrease the mapping pixel size, in a hope to generate an image with high-resolution and simultaneously to pick up items from the "blind point". We can then either (ii) offset the colour to intentionally image only the high-intensity portion of the Raman signal (emitted from the centre of the laser spot), to localise the exact position of the nanoplastic; or (iii) categorise the imaged nanoplastics to different groups via their Raman intensity, to simultaneously and separately visualise large nanoplastics/strong Raman signals, medium nanoplastics and small nanoplastics, in an effort to avoid the shielding and overlooking of weak signals. We (iv) also cross-check multi-images simultaneously mapped at two or three characteristic peaks via either a logic-OR or a logic-AND algorithm. Thus the imaging uncertainty can be significantly reduced from a statistical point of view.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Car paint-polishing dust; Environmental contamination; Microplastic; Nanoplastic; Pixel size; Raman mapping image

Year:  2020        PMID: 32629180     DOI: 10.1016/j.watres.2020.116046

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  5 in total

1.  Label-free identification of microplastics in human cells: dark-field microscopy and deep learning study.

Authors:  Ilnur Ishmukhametov; Läysän Nigamatzyanova; Gӧlnur Fakhrullina; Rawil Fakhrullin
Journal:  Anal Bioanal Chem       Date:  2021-10-31       Impact factor: 4.142

Review 2.  Photoluminescence-Based Techniques for the Detection of Micro- and Nanoplastics.

Authors:  Chiara Capolungo; Damiano Genovese; Marco Montalti; Enrico Rampazzo; Nelsi Zaccheroni; Luca Prodi
Journal:  Chemistry       Date:  2021-10-21       Impact factor: 5.020

3.  Automated analysis of microplastics based on vibrational spectroscopy: are we measuring the same metrics?

Authors:  Mingtan Dong; Zhenbing She; Xiong Xiong; Guang Ouyang; Zejiao Luo
Journal:  Anal Bioanal Chem       Date:  2022-02-15       Impact factor: 4.478

4.  Which particles to select, and if yes, how many? : Subsampling methods for Raman microspectroscopic analysis of very small microplastic.

Authors:  Christian Schwaferts; Patrick Schwaferts; Elisabeth von der Esch; Martin Elsner; Natalia P Ivleva
Journal:  Anal Bioanal Chem       Date:  2021-05-12       Impact factor: 4.142

Review 5.  Analysis of microplastics in drinking water and other clean water samples with micro-Raman and micro-infrared spectroscopy: minimum requirements and best practice guidelines.

Authors:  Darena Schymanski; Barbara E Oßmann; Nizar Benismail; Kada Boukerma; Gerald Dallmann; Elisabeth von der Esch; Dieter Fischer; Franziska Fischer; Douglas Gilliland; Karl Glas; Thomas Hofmann; Andrea Käppler; Sílvia Lacorte; Julie Marco; Maria El Rakwe; Jana Weisser; Cordula Witzig; Nicole Zumbülte; Natalia P Ivleva
Journal:  Anal Bioanal Chem       Date:  2021-07-20       Impact factor: 4.142

  5 in total

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